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Our method proved that inclusion of genomic DNA from three genomes not only enabled all spots on the array to be validated but also provided greater coverage to understand the bacterial genomic diversity present in EDL933 and Sakai-like strains in comparison to K12-like strains.
Subsequently, in the case of RC Beams externally bonded with FRPs under sustained loads, the proposed method proved that it is possible to accurately predict long-term deformations.
Furthermore, the proposed method proved that the denoising in spatial domain work equally well as in transform domains.
A new method proved that 101 disease genes were connected with target proteins of the existing rheumatoid arthritis drugs through protein-protein interaction network [10].
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In any case, the analysis of the expression profiles based on both microarray and RNA-seq methods proved that ZmLTPs may play important roles in maize tolerance to drought stress.
Computational results on this testbed show the viability of our methods, proving that savings in the order of millions of Euro can be achieved.
PCR improved the yield by 8 15% when combined with conventional methods, proving that PCR is a valuable tool in addition to conventional methods.
The proposed method proves that it may be a good way to assess the performance curves of building-integrated solar thermal collectors and that it is suitable for reducing test costs.
The results obtained and the overall functionality of the method prove that Wavelet Neural Networks can offer a fast and robust grade estimation technique and a valid alternative to well established methodologies in this area.
The analysis of basic concepts and implementation method proves that VEO/VEP is a specialized form of CPS and it can play a vital role in the structure building of Industry 4.0.
Comparing the proposed SVMs with the ANN-based method prove that the proposed SVM-based method is faster and more accurate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com